Deep Residual Dense U-Net for Resolution Enhancement in Accelerated MRI Acquisition

13 January 2020

Papers citing "Deep Residual Dense U-Net for Resolution Enhancement in Accelerated MRI Acquisition"

8 / 8 papers shown

MS-Glance: Bio-Insipred Non-semantic Context Vectors and their Applications in Supervising Image ReconstructionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024

310

31 Oct 2024

Accelerated Proton Resonance Frequency-based Magnetic Resonance Thermometry by Optimized Deep Learning Method

200

03 Jul 2024

Super-resolution of biomedical volumes with 2D supervision

345

15 Apr 2024

Single Image Super-Resolution Methods: A Survey

Bahattin Can Maral

SupR

145

17 Feb 2022

PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation

Abhishek Srivastava

S. Chanda

Debesh Jha

Michael A. Riegler

148

20 Nov 2021

About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data Annotations

Dmitrii Shubin

Danny Eytan

Sebastian D. Goodfellow

245

28 May 2021

MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image SegmentationIEEE journal of biomedical and health informatics (JBHI), 2021

Debesh Jha

Michael A. Riegler

266

270

16 May 2021

Scan Specific Artifact Reduction in K-space (SPARK) Neural Networks Synergize with Physics-based Reconstruction to Accelerate MRIMagnetic Resonance in Medicine (MRM), 2021

392

02 Apr 2021